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Comparison of the Wavelet Denoising Methods for Denoising of Phonocardiogram Signal

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CMBEBIH 2021 (CMBEBIH 2021)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 84))

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Abstract

Heart diseases are the number one cause of death all over the world. Many deaths are caused due to late detection of heart diseases. During the process of heart sound recording, beside heart sound, environment noise is being recorded too. In this work signal denoising was performed using wavelet denoising method. Furthermore, parameter values are compared to find the best combination. Signal to noise ratio (SNR), mean square error (MSE), root mean square error (RMSE) and peak signal to noise ratio (PSNR) were calculated to evaluate results. The highest mean value of the signal-to-noise ratio was 85.38 and it is obtained by Daubechies wavelet method with order 16, ‘sqwtolog’ threshold selection rule and threshold rescaling ‘one’. Wavelet denoising is appropriate method for phonocardiogram analysis and could be useful in heart disease detection.

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Authors and Affiliations

  1. International Burch University, Sarajevo, Bosnia and Herzegovina

    Dželila Mehanović, Zerina Mašetić, Dino Kečo & Jasmin Kevrić

Authors
  1. Dželila Mehanović
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  2. Zerina Mašetić
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  3. Dino Kečo
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  4. Jasmin Kevrić
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Correspondence to Dželila Mehanović .

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Editors and Affiliations

  1. Verlab Ltd Sarajevo and Faculty of Pharmacy, University of Sarajevo, Sarajevo, Bosnia and Herzegovina

    Almir Badnjevic

  2. Verlab Ltd Sarajevo and International Burch University Sarajevo, Sarajevo, Bosnia and Herzegovina

    Lejla Gurbeta Pokvić

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Mehanović, D., Mašetić, Z., Kečo, D., Kevrić, J. (2021). Comparison of the Wavelet Denoising Methods for Denoising of Phonocardiogram Signal. In: Badnjevic, A., Gurbeta Pokvić, L. (eds) CMBEBIH 2021. CMBEBIH 2021. IFMBE Proceedings, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-030-73909-6_37

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  • DOI: https://doi.org/10.1007/978-3-030-73909-6_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73908-9

  • Online ISBN: 978-3-030-73909-6

  • eBook Packages: EngineeringEngineering (R0)

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